Cloud Engineer- Data/AI Focused

We are seeking a skilled and motivated Data/AI Cloud Engineer to join our team! In this role, you will play a key part in implementing AWS data and AI/ML services, building ETL/ELT pipelines, and developing intelligent data solutions that empower our customers to derive meaningful insights from their data. You will collaborate closely with Cloud Architects and senior technical team members to design and deliver high-quality, scalable solutions — spanning data engineering, machine learning infrastructure, and AI-driven applications — aligned with customer needs.Responsibilities:Implementing data pipelines using AWS services such as Glue, Lambda, Step Functions, and EMRCreating and maintaining data extraction, transformation, and loading processesConfiguring and optimizing AWS database services including RDS, Aurora, Redshift, and DynamoDBImplementing data lakes using S3 and related AWS servicesDesigning and building production-ready Generative AI applications using Amazon Bedrock and foundation models such as Anthropic ClaudeBuilding and optimizing RAG (Retrieval-Augmented Generation) pipelines with vector databasesDeveloping AI agents and multi-agent orchestration systems using frameworks like LangChain or LlamaIndexWriting and testing SQL queries and stored proceduresDocumenting technical solutions and providing knowledge transfer to customersSupporting the implementation of data governance and security controlsTroubleshooting and resolving issues with data pipelines and AI servicesParticipating in code reviews and implementing feedbackAssisting with proof-of-concept implementations for customer engagementsTop candidates will have the following:Technical familiarity with AWS data and AI/ML services and modern data engineering practicesHands-on experience with ETL/ELT processes and data transformationExposure to Generative AI concepts including LLMs, embeddings, RAG, and agent frameworksAbility to write and optimize SQL queries across various database platformsKnowledge of data modeling concepts and best practicesStrong analytical and problem-solving skillsEagerness to learn new technologies and keep up with cloud and AI innovationsExcellent communication skills with the ability to explain technical concepts clearlyAttention to detail and commitment to solution qualityCollaborative mindset with strong teamwork capabilitiesExperience or interest in automation and infrastructure as codeRequired Experience for the Role:Must have 5+ years of software engineering experience with at least 2+ years focused on AI/ML, data engineering, or cloud-native developmentMust have 2+ years of hands-on AWS experience with production deploymentsMust have 1+ years of direct Generative AI experience (LLMs, embeddings, RAG, agents)Must have a proven track record delivering production AI applications from concept to deploymentMust have strong understanding of software engineering best practices (version control, testing, code review, documentation)Must have experience working in agile/scrum environments with distributed teamsMust have excellent problem-solving skills and ability to work independently with minimal supervisionMust have strong written and verbal communication skills for client-facing interactionsThe salary range provided is a general guideline. When extending an offer, Innovative considers factors including, but not limited to, the responsibilities of the specific role, market conditions, geographic location, as well as the candidate’s professional experience, key skills, and education/training.We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.